AIMC Topic: Computer Simulation

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Monte Carlo cross-validation for a study with binary outcome and limited sample size.

BMC medical informatics and decision making Oct 17, 2022
Cross-validation (CV) is a resampling approach to evaluate machine learning models when sample size is limited. The number of all possible combinations of folds for the training data, known as CV rounds, are often very small in leave-one-out CV. Alte...
Humans Machine Learning Computer Simulation Sample Size Monte Carlo Method
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Design of Synchronization Tracking Adaptive Control for Bilateral Teleoperation System with Time-Varying Delays.

Sensors (Basel, Switzerland) Oct 14, 2022
The performances of position synchronization and force interaction of the teleoperation system provide a safe and efficient way for operators to perform tasks in remote, hazardous environments. In practice, however, communication delays and dynamic u...
Neural Networks, Computer Software Algorithms Computer Simulation Feedback
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The Navigation System of a Logistics Inspection Robot Based on Multi-Sensor Fusion in a Complex Storage Environment.

Sensors (Basel, Switzerland) Oct 14, 2022
To reliably realize the functions of autonomous navigation and cruise of logistics robots in a complex logistics storage environment, this paper proposes a new robot navigation system based on vision and multiline lidar information fusion, which can ...
Computer Simulation Robotics Vision, Ocular
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Estimation of Parameters on Probability Density Function Using Enhanced GLUE Approach.

Computational intelligence and neuroscience Oct 14, 2022
The most essential process in statistical image and signal processing is the parameter estimation of probability density functions (PDFs). The estimation of the probability density functions is a contentious issue in the domains of artificial intelli...
Artificial Intelligence Algorithms Computer Simulation Bayes Theorem Probability Likelihood Functions
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A Spatio-Temporal Attention Mechanism Based Approach for Remaining Useful Life Prediction of Turbofan Engine.

Computational intelligence and neuroscience Oct 14, 2022
The time-series data generated by turbofan engines has a great degree of complexity and dynamics. At present, recurrent neural networks are commonly used to model and forecast the remaining useful life (RUL). The relationship of the sample data is no...
Neural Networks, Computer Computer Simulation
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A Design Method of Two-Dimensional Subwavelength Grating Filter Based on Deep Learning Series Feedback Neural Network.

Sensors (Basel, Switzerland) Oct 13, 2022
Subwavelength grating structure has excellent filtering characteristics, and its traditional design method needs a lot of computational costs. This work proposed a design method of two-dimensional subwavelength grating filter based on a series feedba...
Neural Networks, Computer Computer Simulation Feedback Deep Learning Equipment Design
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Deep residual neural-network-based robot joint fault diagnosis method.

Scientific reports Oct 13, 2022
A data driven method-based robot joint fault diagnosis method using deep residual neural network (DRNN) is proposed, where Resnet-based fault diagnosis method is introduced. The proposed method mainly deals with kinds of fault types, such as gain err...
Neural Networks, Computer Computer Simulation Support Vector Machine Robotics Normal Distribution
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A Highly Energy-Efficient Hyperdimensional Computing Processor for Biosignal Classification.

IEEE transactions on biomedical circuits and systems Oct 13, 2022
Hyperdimensional computing (HDC) is a brain-inspired computing paradigm that operates on pseudo-random hypervectors to perform high-accuracy classifications for biomedical applications. The energy efficiency of prior HDC processors for this computati...
Algorithms Brain Computer Simulation Support Vector Machine
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Leveraging Expert Demonstration Features for Deep Reinforcement Learning in Floor Cleaning Robot Navigation.

Sensors (Basel, Switzerland) Oct 12, 2022
In this paper, a Deep Reinforcement Learning (DRL)-based approach for learning mobile cleaning robot navigation commands that leverage experience from expert demonstrations is presented. First, expert demonstrations of robot motion trajectories in si...
Algorithms Computer Simulation Learning Robotics Motion
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Generation and Research of Online English Course Learning Evaluation Model Based on Genetic Algorithm Improved Neural Set Network.

Computational intelligence and neuroscience Oct 11, 2022
The rationality and timeliness of the comprehensive results of English course learning quality are increasingly important in the process of modern education. There are some problems in the scientific evaluation of English course learning quality and ...
Neural Networks, Computer Algorithms Computer Simulation Learning
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